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Consequently, it becomes difficult to anonymize the data without an unacceptably high amount of information loss [39].
Widespread use of this assumption, and the amount of information loss implies that sample sizes need to increase to offset the mapping loss.
As explained previously, our goal is to perform the selection of samples which are to be removed in a manner which minimizes the amount of information loss, i.e. preserves the amount of information retained.
However, using such a restriction caused a considerable amount of information loss and a reduction of statistical power, because only a few studies were available for this purpose (see Methods).
Top reported reasons for leaving undergraduate science majors included poor faculty pedagogy, an overwhelming amount of information, loss of interest in the discipline, and a competitive classroom culture (Seymour and Hewitt, 1997).
For every variable, the ratio of the number of generalization steps applied to the total number of possible generalization steps (total height of the generalization hierarchy) gives the amount of information loss for that particular variable.
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This causes a high amount of crucial information loss and results in non-reconstructible data.
Such methods suffer from a great amount of data loss.
If each individual only contributes a small amount of information then the capture, loss or deception of a single person will be less detrimental to the mission than a significant contributor.
The loss of limited amount of information is usually not serious, at least if the first 2 3 PCs have large eigenvalues and, hence, account for a large percentage of the total variation.
In this research takes advantage of continuous spatial data because in the common classification of spatial data, we will witness the loss of a significant amount of information.
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